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Leonardo Volpato
Precision Phenotyping Postdoctoral Research
Corteva Agriscience - Johnston, IA.
June 2023 to present
Education
Instituto Federal do Triângulo Mineiro - IFTM
T.E. in Technical Course in Agriculture
Uberlandia, Brazil
2009
Federal University of Viçosa - UFV
B.S. in Agronomy
Viçosa, Brazil
2014
Federal University of Viçosa - UFV
M.S. in Plant Breeding
Viçosa, Brazil
2016
Thesis: Selection of soybean progeny for grain yield with the use of mixed models
Federal University of Viçosa - UFV
Ph. D. in Plant Breeding
Viçosa, Brazil
2020
Thesis: High-throughput phenotyping for soybean plant maturity date and wheat plant height using unmanned aerial system
Professional Research Experience
Precision Phenotyping Postdoctoral Research Associate
Corteva Agriscience
Johnston, IA - USA
2023 - present
- Development of precision phenotyping pipelines.
- Remote sensing and proximal sensor development pipelines.
- Precision phenotyping Data Scientist and scientific reports.
Postdoctoral Research Associate
Michigan State University - MSU
East Lansing, MI - USA
2021 - 2023
- Remote sensing pipelines at dry bean breeding program.
- GxE interactions data analysis.
- Precision phenotyping using ML approaches.
Visiting Research Scholar
University Of Minnesota - UMN
Minneapolis, MN - USA
2019 - 2020
- Applied remote sensing approaches in the soybean variety development pipeline.
- Conducted field data analyses using drone imagery.
- Worked collaboratively with other graduate students and technicians.
- Pipeline implemented in R to estimate plant maturity date using HTP/UAS methods
Visiting Student
International Maize and Wheat Improvement Center - CIMMYT
Mexico City, Mexico
2018 - 2019
- Supported the entire remote sensing components of wheat and maize plant breeding trials.
- Performed drone imagery and software analyses.
- Conducted missions and collected data for HTP using Unmanned Aerial System (UAS).
- Pipeline developed for measuring agronomic trait such as plant height, biomass, lodging and biologic stress using UAS.
Intern
Federal University of Viçosa - UFV
Viçosa, Brazil
2010 - 2014
- Resistance of Spodoptera frugiperda (Lepidoptera: Noctuidae) to proteins from Bacillus thuringiensis
- Evaluation of tropical maize (Zea mays L.) lines fornitrogen use efficiency
- Selection within andbetween families of ornamental pepper (Capsicum spp.)
Professional/Academic Experience
AgroPlan-UFV - Junior Enterprise Agronomy
Federal University of Viçosa - UFV
Viçosa, Brazil
2011 - 2012
Teaching assistant in Agriculture Entomology
Federal University of Viçosa - UFV
Viçosa, Brazil
2013 - 2014
Regulation of seeds and seedlings, Intern
Federal Agriculture, Livestock and Supply - MAPA
Viçosa, Brazil
2014
Academic group coordinator
GenMelhor-UFV - Study Group of Genetics and Breeding
Viçosa, Brazil
2015 2017
Remote assistance phenotyping
Celeiro Sementes - Pipeline developed to implement phenotyping approaches in the soybean breeding program
Piaui, Brazil
2021 - 2022
Selected Publications
Selection of inbred soybean progeny: an approach with population effect.
Volpato, L.; Simiqueli, G.F.; Alves, R.S.; Rocha, J. R. A. S. C.; Del Conte, M. V.; Resende, M. D. V.; Carneiro, P. C. S.; Silva, F. L. Plant Breeding, v. 138, p. i-iv, 451-672.
N/A
2018
A. Multi-trait multi-environment models in the genetic selection of segregating soybean progeny.
Volpato, L; Alves, R.S.; Teodoro, P.E.; Resende, V. M. D.; Nascimento, M.; Nascimento, A. C. C.; Ludke, W.H.; Lopes, S. F. PLoS One, v. 14, p. e0215315.
N/A
2019
SNP markers associated with soybean partial resistance to Phytophthora sojae.
Ludke, W. H.; Schuster, I.; Nora, T. D.; Oliveira, A. B.; Soares, B. A.; Volpato, L.; Silva, F. L. Crop Breeding and Applied Biotechnology, v. 19, p. 31-39
N/A
2019
Inference of population effect and progeny selection via a multi-trait index in soybean breeding.
Volpato, L.; Rocha, J. R. A. S. C.; Alves, R. S.; Ludke, W. H.; Oliveira, A. B.; Silva, F. L. Acta Scientiarum. Agronomy, v. 43, p. 10.4025/actasci.
N/A
2020
High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation.
Volpato, L.; Pinto, F.; González-Pérez, L. ; Thompson, I. G. ; Borem, A.; Reynolds, M.; Gérard, B.; Molero, G.; Rodrigues, F. A. Frontiers in Plant Science, v. 12, p. 591587.
N/A
2021
High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation.
Volpato, L.; Dobbels. A.; Borem, A,; Lorenz, A. J. The Plant Phenome J.,10.1002/ppj2.20018.
N/A
2021
Genomic selection with rapid cycling: Current insights and future prospects.
Volpato, L.; Bernardeli, A.; Gomez, F. Crop Breeding and Applied Biotechnology. 21(S): e394721S14.
N/A
2021
A Retrospective Analysis of Historical Data of Multi-Environment Trials for Dry Bean (Phaseolus vulgaris L.) in Michigan.
Volpato, L.; Gomez, F.; Wright E. Crop Science. 10.1002/csc2.21184.
N/A
2023
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.) .
Volpato, L.; Wright, E.; Gomez, F. In press. Plant Phenomics.Preprint at: https://doi.org/10.21203/rs.3.rs-3160633/v1
N/A
2024
Selected Award
National Association of Plant Breeding (NAPB) early career award - Ames, Iowa.
NAPB Graduate Student Poster Competition titled “Estimation of stand count in dry beans using high resolution imagery: feasibility and validation”.
N/A
2022
Language
Portuguese
Native
N/A
N/A
English
Fluent
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Spanish
Working knowledge
N/A
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